{"id":"W6920728867","doi":"10.6084/m9.figshare.24447656.v1","title":"Additional file 2 of Exploring patient perspectives on how they can and should be engaged in the development of artificial intelligence (AI) applications in health care","year":2024,"lang":"en","type":"article","venue":"Figshare","topic":"Artificial Intelligence in Healthcare and Education","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Focus (optics); Health care; Focus group; Patient care; MEDLINE; Qualitative research","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.003378065,0.0007745952,0.001120171,0.002088771,0.001610765,0.001864535,0.001535238,0.001443292,0.9143451],"category_scores_gemma":[0.05568881,0.0005190463,0.000823197,0.00284688,0.0003768609,0.002709503,0.001509412,0.001559347,0.1644625],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001539328,"about_ca_system_score_gemma":0.003116918,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009145303,"about_ca_topic_score_gemma":0.01995882,"domain_scores_codex":[0.9988511,0.0004429241,0.0001938202,0.0001425658,0.0001991765,0.0001703384],"domain_scores_gemma":[0.9466064,0.04464008,0.001621672,0.001118902,0.004788957,0.001224003],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002860639,0.00007968741,0.000629044,0.001995891,0.00001001887,0.0000412629,0.0003443527,0.0001062942,0.00001922174,0.0009064373,0.9845509,0.01103084],"study_design_scores_gemma":[0.007586929,0.0004636026,0.01557541,0.00846801,0.0001366271,0.0004697031,0.004672932,0.001004632,0.0004889946,0.02274133,0.938203,0.0001887867],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00104901,0.0001105697,0.0008395895,0.001715556,0.0001658467,0.002812424,0.9776383,0.0004480009,0.01522067],"genre_scores_gemma":[0.05091006,0.001497203,0.02144173,0.01035873,0.0007300532,0.1248517,0.6398068,0.001911748,0.148492],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9143451,"threshold_uncertainty_score":0.1221763,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3748221712444489,"score_gpt":0.416298827943288,"score_spread":0.04147665669883915,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}